Submission open

Machine Learning for Hydrological Modeling and Water Resource Management in Data-Scarce Regions

• Temesgen Gashaw Tarkegn
• Ram Ray
• Gebrekidan Tefera
• VINCENT ODONGO

Submission open

Improving Machine Learning for Water Resources Through Scientific Knowledge Integration

• Jacob Zwart
• Xiaowei Jia

Submission open

Advances in Computational Fluid Dynamics and Artificial Intelligence for the Water Sector.

• Oscar E. Coronado-Hernández
• Modesto Pérez-Sánchez
• Ramos, H. M.

Submission open

Advancing Machine Learning for Climate and Water Resilience: Techniques for Precipitation Forecasting

• Mounia EL HAFYANI
• Kingsy Grace. R
• Sajal Kumar Adhikary

Submission open

Integrating Values and Ethics when utilizing Artificial Intelligence and Machine Learning to support Water Management decisions

• Alyssa Dausman
• Yegane Khoshkalam

Submission open

Hydrological Simulation and Uncertainty Analysis Methods Based on Data Assimilation and Deep Learning

• Jiangjiang Zhang
• Tongchao Nan
• Xueyuan Kang

Submission closed

Artificial Intelligence Applications to Water Quality Modeling

• Prof. Surjeet Dalal
• Youcun Liu
• G R Abhijith

Submission closed

Harnessing Artificial Intelligence to Address Climate-Induced Challenges in Water Resources Management

• Minxue He
• Evangelos Rozos

Submission open

Applied Machine Learning for River Components Studies

• Meysam Salarijazi
• Iman Ahmadianfar
• Amin Talei
• Omid Chatrabgoun

Submission closed

Data-driven Machine Learning for Advancing Hydrological and Hydraulic Predictability

• Tiantian Yang
• Dan Lu
• Xiaofeng Liu

Submission closed

Integration of Machine Learning with Physics-Based Hydrologic Modeling

• Pin Shuai
• Alison Appling
• Alex Sun
• Ethan Coon

Submission closed

Application of Artificial Neural Network Algorithms for Hydrological Forecasting